AI in Social Media Market Introduction and Overview
According to SPER Market Research, the Global AI in Social Media Market is estimated to reach USD 25.09 billion by 2034 with a CAGR of 28.33%.
The report includes an in-depth analysis of the Global AI in Social Media Market, including market size and trends, product mix, Applications, and supplier analysis. In the social media industry, artificial intelligence (AI) is transforming how platforms evaluate user data, customize content, and increase user interaction. Through sophisticated algorithms, real-time analytics, and natural language processing, AI-powered solutions allow for accurate targeting and promote deep connections between consumers and companies. The necessity for effective content filtering, the increasing desire for individualized experiences, and machine learning developments are some of the main factors. Nevertheless, issues like algorithmic biases, data privacy ethics, and the high expense of integrating AI continue to exist. AI use in social media is still expanding in spite of these difficulties providing creative ways to enhance user experiences and boost commercial results.
By Component Insights: AI in Social Media is classified into two categories: Solutions, Services. As social media firms use AI-powered tools and platforms more frequently to manage their data and content, solutions are taking over the industry. Businesses may increase productivity and save a lot of money by using these technologies to automate processes like sentiment analysis, content moderation, and personalized recommendations. However, as social media firms look to implement and maintain services to guarantee the seamless operation of their AI solutions, the need for AI services is also growing.
By Application Insights: The market for AI in Social Media is segmented based on applications, including Sales & Marketing, Customer Experience Management and Predictive Risk Assessment. The market is dominated by the sales and marketing segment. The use of AI in social media is expanding quickly and has important ramifications for marketing and sales. Large volumes of data produced by social media platforms are being analysed using AI technology to find patterns and trends that can guide marketing plans. It is employed to tailor offers and marketing messages according to user preferences and behavior.AI also makes it possible for social media companies to advertise more precisely.
By Technology Insights: The market for AI in Social Media is segmented based on Technology, including Machine Learning, Deep Learning and Natural Learning Process. The market was controlled by the deep learning category. With the advancement of deep learning algorithms, the application of AI in social media has grown in popularity. Deep learning can also aid with image recognition, sentiment analysis, and natural language processing, enabling more effective and efficient social media moderation. Social media could undergo a revolution thanks to deep learning, which could make it safer, more engaging, and more tailored for consumers.
By Enterprise Size Insights: The market for AI in Social Media is segmented based on Enterprise Size, including SME’s, Large Enterprises. The AI in Social Media Market was ruled by the Large Enterprises sector. The significant resources that big businesses devote to implementing and incorporating cutting-edge AI technologies into their social media operations are primarily responsible for this supremacy. These businesses can use big data analytics, machine learning, and natural language processing to learn more about consumer behaviour, market trends, and campaign performance since they have the funds to invest in state-of-the-art AI tools and platforms.
By End User Insights: The market for AI in Social Media is divided into many end users, including Retail and ecommerce, BFSI, Media & Advertising, Education, Public Utilities. The market for AI in social media was dominated by the retail and e-commerce sectors. The main reason for its prominence is the crucial part AI technologies play in transforming the retail and e-commerce industries through more individualized shopping experiences, focused advertising, and improved customer support. The use of Chabot and virtual assistants powered by AI on social media platforms further solidifies the retail and e-commerce industry's dominant position.
By Regional Insights: The United States controls the majority of the AI in the social media market, with to the dominance of big internet giants like Google (YouTube), X (previously Twitter), and Meta (Facebook, Instagram). For user engagement, targeted advertising, and personalized content, these businesses deploy cutting-edge AI. The U.S. leads because of its strong technological infrastructure, creative ecosystem, and large investment in AI R&D, which guarantees a competitive advantage on a worldwide scale.
Market Competitive Landscape:
Leading companies in the market are making significant investments in R&D to broaden their product offerings, which will support the further growth of AI in the social media sector. Important market developments include new product releases, contractual agreements, mergers and acquisitions, increased investments, and cooperation with other organizations. Some of the key market players are Clara Bridge, IBM Corporation, Google Inc., Twitter, Microsoft Corporation and Facebook, AWS, IBM, Baidu, Amazon Web Services Inc.
Recent Developments:
- In October 2024, A Singapore-based AI start-up, Quocia AI Pte Ltd, recently launched Quocia, an AI-powered social media management platform which reduces social media marketing for professionals and SMEs by streamlining social media strategy, publishing, planning, and posting, releasing up businesses to focus on their main areas of expertise and growth.
- In June 2024, Meta Platform plans to start retraining their generative AI models using European social media content. Individuals from the European Union that chose to post their content publicly on social media platforms like Facebook and Instagram will be utilized for training the Llama large language model.
Scope of the Report:
| Report Metric | Details |
| Market size available for years | 2021-2034 |
| Base year considered | 2024 |
| Forecast period | 2025-2034 |
| Segments covered | By Component, By Application, By Technology, By Enterprise Size, By End User |
| Regions covered | North America, Latin America, Asia-Pacific, Europe, and Middle East & Africa |
| Companies Covered | Clara Bridge, IBM Corporation, Google Inc., Twitter, Microsoft Corporation, Facebook, AWS, IBM, Baidu, Amazon Web Services Inc. |
Key Topics Covered in the Report:
- Global AI in Social Media Market Size (FY’2021-FY’2034)
- Overview of Global AI in Social Media Market
- Segmentation of Global AI in Social Media Market By Component (Solutions, Services)
- Segmentation of Global AI in Social Media Market By Application (Sales & Marketing, Customer Experience Management, Predictive Risk Assessment)
- Segmentation of Global AI in Social Media Market By Technology (Machine Learning, Deep Learning, Natural Learning Process)
- Segmentation of Global AI in Social Media Market By Enterprise Size (SME’s, Large Enterprises)
- Segmentation of Global AI in Social Media Market By End User (Retail and ecommerce, BFSI, Media & Advertising, Education, Public Utilities)
- Statistical Snap of Global AI in Social Media Market
- Expansion Analysis of Global AI in Social Media Market
- Problems and Obstacles in Global AI in Social Media Market
- Competitive Landscape in the Global AI in Social Media Market
- Details on Current Investment in Global AI in Social Media Market
- Competitive Analysis of Global AI in Social Media Market
- Prominent Players in the Global AI in Social Media Market
- SWOT Analysis of Global AI in Social Media Market
- Global AI in Social Media Market Future Outlook and Projections (FY’2025-FY’2034)
- Recommendations from Analyst
1. Introduction
1.1. Scope of the report
1.2. Market segment analysis
2. Research Methodology
2.1. Research data source
2.1.1. Secondary Data
2.1.2. Primary Data
2.1.3. SPERs internal database
2.1.4. Premium insight from KOLs
2.2. Market size estimation
2.2.1. Top-down and Bottom-up approach
2.3. Data triangulation
3. Executive Summary
4. Market Dynamics
4.1. Driver, Restraint, Opportunity and Challenges analysis
4.1.1. Drivers
4.1.2. Restraints
4.1.3. Opportunities
4.1.4. Challenges
5. Market variable and outlook
5.1. SWOT Analysis
5.1.1. Strengths
5.1.2. Weaknesses
5.1.3. Opportunities
5.1.4. Threats
5.2. PESTEL Analysis
5.2.1. Political Landscape
5.2.2. Economic Landscape
5.2.3. Social Landscape
5.2.4. Technological Landscape
5.2.5. Environmental Landscape
5.2.6. Legal Landscape
5.3. PORTERs Five Forces
5.3.1. Bargaining power of suppliers
5.3.2. Bargaining power of buyers
5.3.3. Threat of Substitute
5.3.4. Threat of new entrant
5.3.5. Competitive rivalry
5.4. Heat Map Analysis
6. Competitive Landscape
6.1. Global AI in Social Media Market Manufacturing Base Distribution, Sales Area, Product Type
6.2. Mergers & Acquisitions, Partnerships, Product Launch, and Collaboration in Global AI in Social Media Market
7. Global AI in Social Media Market, By Component (USD Million) 2021-2034
7.1. Solutions
7.2. Services
8. Global AI in Social Media Market, By Application (USD Million) 2021-2034
8.1. Sales & Marketing
8.2. Customer Experience Management
8.3. Predictive Risk Assessment
9. Global AI in Social Media Market, By Technology (USD Million) 2021-2034
9.1. Machine Learning
9.2. Deep Learning
9.3. Natural Learning Process (NLP)
10. Global AI in Social Media Market, By Enterprise Size (USD Million) 2021-2034
10.1. SMEs
10.2. Large Enterprises
11. Global AI in Social Media Market, By End User (USD Million) 2021-2034
11.1. Retail and ecommerce
11.2. BFSI
11.3. Media & Advertising
11.4. Education
11.5. Public Utilities
12. Global AI in Social Media Market, (USD Million) 2021-2034
12.1. Global AI in Social Media Market Size and Market Share
13. Global AI in Social Media Market, By Region, (USD Million) 2021-2034
13.1. Asia-Pacific
13.1.1. Australia
13.1.2. China
13.1.3. India
13.1.4. Japan
13.1.5. South Korea
13.1.6. Rest of Asia-Pacific
13.2. Europe
13.2.1. France
13.2.2. Germany
13.2.3. Italy
13.2.4. Spain
13.2.5. United Kingdom
13.2.6. Rest of Europe
13.3. Middle East and Africa
13.3.1. Kingdom of Saudi Arabia
13.3.2. United Arab Emirates
13.3.3. Qatar
13.3.4. South Africa
13.3.5. Egypt
13.3.6. Morocco
13.3.7. Nigeria
13.3.8. Rest of Middle-East and Africa
13.4. North America
13.4.1. Canada
13.4.2. Mexico
13.4.3. United States
13.5. Latin America
13.5.1. Argentina
13.5.2. Brazil
13.5.3. Rest of Latin America
14. Company Profile
14.1. Amazon Web Services, Inc
14.1.1. Company details
14.1.2. Financial outlook
14.1.3. Product summary
14.1.4. Recent developments
14.2. Adobe Systems
14.2.1. Company details
14.2.2. Financial outlook
14.2.3. Product summary
14.2.4. Recent developments
14.3. Baidu
14.3.1. Company details
14.3.2. Financial outlook
14.3.3. Product summary
14.3.4. Recent developments
14.4. Clarabridge
14.4.1. Company details
14.4.2. Financial outlook
14.4.3. Product summary
14.4.4. Recent developments
14.5. Facebook
14.5.1. Company details
14.5.2. Financial outlook
14.5.3. Product summary
14.5.4. Recent developments
14.6. Google
14.6.1. Company details
14.6.2. Financial outlook
14.6.3. Product summary
14.6.4. Recent developments
14.7. IBM
14.7.1. Company details
14.7.2. Financial outlook
14.7.3. Product summary
14.7.4. Recent developments
14.8. Salesforce
14.8.1. Company details
14.8.2. Financial outlook
14.8.3. Product summary
14.8.4. Recent developments
14.9. Snap
14.9.1. Company details
14.9.2. Financial outlook
14.9.3. Product summary
14.9.4. Recent developments
14.10. Twitter
14.10.1. Company details
14.10.2. Financial outlook
14.10.3. Product summary
14.10.4. Recent developments
14.11. Others
15. Conclusion
16. List of Abbreviations
17. Reference Links